Recently, MEC has been integrated with satellite networks to process remote terrestrial computation tasks superior coverage and delay. Since single is hard tackle spatially uneven workloads, peer offloading among multiple satellites urgently needed further improve service quality resource utilization. However, considering limited resources, deficient energy, costly overheads of communication computation, how enable efficient cooperation in the time-varying a significant challenge. In this...

In this paper, an unmanned aerial vehicle (UAV)-enabledspace-air-ground integrated relay system, in which UAV is equipped with phased-array antennas to receive satellite's signal while utilizing non-orthogonal multiple access (NOMA) schemes transmit data land-based users, proposed. For collection, a detection-vector optimization problem can be addressed by introducing serial of transformations into second-order cone programming problem. Furthermore, the UAV-ground NOMA communication...

Integrating unmanned aerial vehicles (UAVs) into the cellular network as new users is a promising solution to meet their ever-increasing communication demands in plethora of applications. Due high UAV altitude, channels between UAVs and ground base stations (GBSs) are dominated by strong line-of-sight (LoS) links, thus severe interference may be generated to/from GBSs uplink/downlink, which renders management with coexisting terrestrial more challenging problem solve. In this paper, we study...

To tackle the network congestion problem caused by ground gateway stations arranged within a limited area in low earth orbit (LEO) satellite networks, routing algorithm based on segment for traffic return is proposed. Light and heavy load zones are dynamically divided according to relative position relationship between gateways reverse slot. The pre-balancing shortest path used light zone, minimum weight defined index rule zone. Then, consistent forwarding performed referring all zones....

In the large-scale dynamic Low Earth Orbit (LEO) satellite networks, conventional TCP-based single-path transmission encounters challenges such as prolonged propagation delay, frequent connection failures, and suboptimal resource utilization. this paper, we propose an Integrated Multi-Path Network Coding (IMPNC) scheme. This scheme leverages multiple paths for end-to-end to achieve bandwidth aggregation redundant backup. The multi-path is facilitated by Quick UDP Internet Connection (MPQUIC)...

With the increasing number of satellites in orbit, traditional scheduling methods can no longer satisfy data demands users. The timeliness remote sensing images with large volumes is poor backhaul process through low-earth-orbit (LEO) satellite networks. To address above problems, we propose an edge-computing load-balancing method for LEO networks based on maximum flow virtual links. First, minimum rectangle composed computing nodes determined by source and destination transmission task...

To tackle the address aggregation problem for low earth orbit (LEO) satellite communication system, a global geographical Internet Protocol subnet division model space–ground integrated network addressing scheme is proposed in this paper. A 2-D spherical coordinate system based on distance applied to describe LEO track and location information of zone. mathematical framework abnormal users constructed under system. The size zone influence expectation user number through ratio logically...

Driven by the recent advancement in unmanned aerial vehicle (UAV) technology, this paper proposes a new wireless network architecture of \emph{coordinate multipoint (CoMP) sky} to harness both benefits interference mitigation via CoMP and high mobility UAVs. Specifically, we consider uplink communications multi-UAV enabled multi-user system, where each UAV forwards its received signals from all ground users central processor (CP) for joint decoding. Moreover, case may move on ground, thus...

The natural mesh network topology of satellite networks makes multi-path transmission prevalent due to its ability provide bandwidth aggregation and backup using redundant paths. While as one the significant benefits transmission, high reliability requires extensive signaling achieve excellent performance. So designing an analysis treatment method tackle overhead balance remains a major challenge. In addition, massive burst services in will have different demands, which require execute...

With the rapid development of LEO mega-constellations, control technique tremendous constellation network become a mean challenge. The SDN-based centralized scheme can solve bottleneck onboard computational resources in traditional distributed mega-constellations. However, frequent topology variation caused by movement and communication link failure increases difficulty in-band enormously. Therefore, we propose novel Dual-Layer SDN (DLSDN) framework, which sets an Upper-layer plane...

The number of satellites in the current low-Earth-orbit (LEO) satellite networks continues to grow form a mega LEO constellation (MLSC). This large-scale net-working effectively improves network coverage and capacity. However, denser deployment brings more severe chal-lenges handovers, such as frequent which exponentially reduce system performance (e.g. probability service success (PSS)) when considering inherent handover failures. To ensure continuity, this paper focuses on relationship...

Unmanned aerial vehicle (in this paper, it is referred to as UAV) widely used in the field of electric power emergency relief. The route planning time traditional UAV relief system too long deliver disaster delay, and its inaccurate image feedback lead blind command. In a fast high precision has been successfully designed, mainly including map system, automatic high-precision flight platform ground monitoring command system. designed based on C language, GIS Data development technology...

Multicast is an essential operation for Unmanned Aerial Vehicle (UAV) networks, which supports important functions such as information dissemination and swarm coordination. However, most existing routing protocols UAV networks aim at unicast routing, there are few multicast dedicated to networks. Furthermore, mobile wireless usually maintain a forwarding structure, they inefficient in due the unique characteristics of UAVs, high-speed movement sparse distribution. For many applications,...

Due to the increasing demand for real-time observation data, remote-sensing satellites can be considered as users access mega communication constellations, which constitute a Low Earth Orbit (LEO) Double-Layered Satellite Network (DLSN) composed of Remote-sensing Layer Satellites (RLSs) and Communication (CLSs). In this LEO DLSN, Distributed Inter-Layer Topology Optimization (DITO) method is proposed based on time-space relationships between two layers, maximize task-aware benefits with...

This paper proposes a complete network capacity analysis framework for low-earth-orbit (LEO) mega-constellations, where estimation problem considering the link packet loss rate is formulated with support of time-variant topology model and task distribution model. solved in two steps. First, without rate, an improved fully polynomial-time approximation (IFPTA) algorithm proposed to provide sub-optimal solution multi-commodity flow (MCF) problem, which simpler definition commodity given proved...

Resilience, the ability of a system to withstand disruptions and quickly return normal state, is essential for low-Earth-orbit satellite communication (LEO-SCS), as its large number satellites, may encounter various disturbances. As developing with asymmetrical insufficient data, it both aleatory epistemic uncertainties, which renders existing resilience measures inapplicable. This paper utilizes uncertainty theory define belief instantaneous availability, based on new measure LEO-SCS...

Delay aware routing is now widely used to provide efficient network transmission. However, for newly developing or developed mobile communication networks (MCN), only limited delay data can be obtained. In such a network, the with epistemic uncertainty, which makes traditional scheme based on deterministic theory probability not applicable. Motivated by this problem, MCN uncertainty first summarized as dynamic uncertain theory, applied model uncertainties. Then modeling end-to- end delay,...

In the future Space Information Network (SIN), remote sensing satellites (RSSs) can access communication constellations (CC) and ground stations (GSs) through inter-layer links (ILLs) satellite-ground (SGLs) to realize timely transmission of large amounts observation data. this paper, we study link topology both ILLs SGLs with different time slot durations from perspective each RSS based on time-expanded graph. We propose a multi-objective mission flow optimization model jointly achieve...